Tencent Technology (shenzhen) Company Limited

Jiawei Renewable Energy Co., Ltd.

Huawei Technologies Co., Limited

China University of Mining and Technology

Jiangsu Huayuan Water-saving Co., Ltd

Tencent Technology Company Limited

Qi Liu

Hua Li

Lei Chen

Ming Li

Fan Zhang

Yi Liu

Bo Wang

Ming Gong

Fan Jiang

Yi Zhang

Kun Yan

Jun Rao

Zhijie Qiu

Liang Bai

Mingfei Liang

Tiantian Shang

Tuo Xu

Leyu Lin

Chunbao Wang

Shu Liu

Zhi Li

Zhi Qin

Xiaohua Hu

Zhipeng Qiu

Tao Peng

Peiyong Liu

Yanlan Wei

Shukai Liu

Zhenlong Sun

Liangdong Wang

Zhou Su

Jinlong Ma

Jiantao Song

Jianxiong Shi

Guangzhou Zhai

Weihua Cui

Weihua Jian

Yuanxie Mai

Le Yu Lin

Ruo Bing Xie

Jielin Shi

Jinping Sui

Yuanguang Liu

Xiuquan Zhang

Kesong Liu

Shenglai Yang

Lingxi Zhang

Guochao He

Jiangbo Cao

Xiaobao Shi

Weifu Wang

Yaqin Yan

Qiuming Zhang

Can Tang

Embodiments of this application provide a method for making recommendations to a user and an apparatus, a computing device, and a storage medium. The method includes obtaining user attribute information, reading attribute information, reading history information, and candidate items; performing intra-group information fusion on the reading attribute information according to preset groupings to obtain reading feature information; obtaining a reading history weight according to the reading history information; obtaining history feature information according to the reading history weight and the reading history information; obtaining user feature information according to the user attribute information, the reading feature information, and the history feature information; and selecting a recommendation item from the candidate items according to the user feature information.

Method for making recommendations to a user and apparatus, computing device, and storage medium

A media information recommendation is provided by obtaining at least two types of media attribute information in which a target user is interested. The determination is based on target nodes corresponding to pieces of media attribute information in a heterogeneous preference network. Heterogeneous feature vectors of the target nodes and heterogeneous feature vectors of neighbor nodes of the target nodes are aggregated. Pieces of media information corresponding to aggregate feature vectors of which similarities satisfy a similarity condition to determine the media information recommendation for the target user.

Media information recommendation method and apparatus, electronic device, and storage medium

A method includes obtaining a first image to be rendered, obtaining a target mask image corresponding to the first image where a g component of the target mask image stores first light change data and a b component of the target mask image stores second light change data, the first light change data being change data of light on a left side of the first image used when the first image is rendered and the second light change data being change data of light on a right side of the first image used when the first image is rendered, and rendering the first image by using the target mask image to obtain a second image.

Image processing method and apparatus, storage medium, and electronic device

Some aspects of the disclosure provide a method for camera operation control in an electronic device. The method includes obtaining, based on a plurality of frames associated with a target time slice, a first target parameter to be met by a camera of a virtual camera system in the target time slice. Then, the method includes determining a target operation speed of the camera in the target time slice at least partially based on the first target parameter and a time-speed change magnification curve, and controlling the camera to operate based on the target operation speed. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Camera movement control method and apparatus, device, and storage medium

A video recommendation method is provided, including: inputting a video to a first feature extraction network, performing feature extraction on at least one consecutive video frame in the video, and outputting a video feature of the video; inputting user data of a user to a second feature extraction network, performing feature extraction on the discrete user data, and outputting a user feature of the user; performing feature fusion based on the video feature and the user feature, and obtaining a recommendation probability of recommending the video to the user; and determining, according to the recommendation probability, whether to recommend the video to the user.

Video recommendation method and device, computer device and storage medium

Microphone

The present disclosure relates to a quick-install structure for an electrical device, including a base and a module. The base is provided with at least two gripping slots. The module is detachably installed on the base. The module is provided with at least two gripping hooks, and the gripping hooks are in one-to-one correspondence with the gripping slots. When the gripping hooks are inserted in the gripping slots, the module has a first position and a second position relative to the base. When in the first position, the gripping books grip with the gripping slots tightly. When in the second position, the gripping hooks are detached from the tight gripping with the gripping slots. The module is switchable between the first position and the second position.

Quick-install structure for electrical device

Headphone

An embodiment of the present application provides a user matching method, which includes: receiving first personal information sent by a current user; generating a first candidate peer information list according to the first personal information and providing the first candidate peer information list to the current user for selection; receiving at least one piece of first peer information selected by the current user from the first candidate peer information list; searching for a recommended user according to an information peer exchange principle, wherein the information peer exchange principle comprises that personal information of the recommended user matches with the at least one piece of first peer information selected by the current user, and the first personal information matches with at least one piece of first peer information selected by the recommended user; and providing information of the recommended user to the current user. A user matching apparatus is also provided.

User matching method and apparatus

Earphone

This application a video file transcoding system and related transcoding method. The system includes: a segmentation device for obtaining a video file and a customized index parameter; split the video file into n video fragments; and generate transcoding configuration parameters according to the customized index parameter; a transcoding device for obtaining an ivideo fragment; obtain a customized material corresponding to the ivideo fragment according to the transcoding configuration parameters; add the customized material to the ivideo fragment, to obtain an icustomized video fragment; and transcode the icustomized video fragment to obtain an itarget video fragment; and a merging device for merging n target video fragments into a target video file after n customized video fragments are all transcoded. This application resolves the problem that it takes too long to transcode a video file to which customized information needs to be added and/or transcoding efficiency is low.

Video file transcoding system, segmentation method, and transcoding method and apparatus

Mounting base

A method for allocating the number of code words and power according to physical channels carrying data includes: determining initial power and an initial number of code words; adjusting the initial power and the initial number of code words in balanced mode according to resource utilization of data transmission physical channels to select a transport block size (TBS) suitable for data transmission, where the power and the number of code words corresponding to the TBS suitable for data transmission are allocated power and number of code words. An apparatus for allocating the number of code words and power according to physical channels carrying data is also provided. With the present application, it is guaranteed that the number of code words and the power may be allocated in balanced mode.

Method and apparatus for allocating the number of code words and power

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Shenzhen, China

Qi Liu